MIDL 2025
109 papers
RCSegNeXt: Efficient multi-scale ConvNeXt for rectal cancer segmentation from sagittal MRI scans
Wang Bo, Ting Xue, Leyang Pan, Dingfu Huang, Yi Xiao
DiffRGenNet: Difference-aware Medical Report Generation
Minghao Bian, Kun Zhang, Dexin Zhao, S Kevin Zhou
SACP: Spatially-Adaptive Conformal Prediction in Uncertainty Quantification of Medical Image Segmentation
Jacqueline Isabel Bereska, Hamed Karimi, Reza Samavi
Vector Representations of Vessel Trees
James Batten, Michiel Schaap, Matthew Sinclair, Ying Bai, Ben Glocker
GAMBAS: Generalised-Hilbert Mamba for Super-resolution of Paediatric Ultra-Low-Field MRI
Levente Baljer, Ula Briski, Robert Leech, Niall J Bourke, Kirsten A Donald
Chest-OMDL: Organ-specific Multidisease Detection and Localization in Chest Computed Tomography using Weakly Supervised Deep Learning from Free-text Radiology Report
Xuguang Bai, Mingxuan Liu, Yifei Chen, Hongjia Yang, Qiyuan Tian
Evaluation of Virtual Stain Multiplexed CD68 for Macrophage Detection in NSCLC PD-L1 Slides
Elad Arbel, Oded Ben-David, Itay Remer, Amir Ben-Dor, Daniela Rabkin
Two Heads Are Enough: DualU-Net, a Fast and Efficient Architecture for Nuclei Instance Segmentation
David Anglada-Rotger, Berta Jansat, Ferran Marques, Montse Pardàs
Enhancing Post-Treatment Visual Acuity Prediction with Multimodal Deep Learning on Small-scale Clinical and OCT Datasets
Matthew Anderson, Veronica Corona, Agnieszka Stankiewicz, Maged Habib, David H. Steel